Applied Digital (APLD) Shares Outstanding (Diluted) (2021 - 2026)
Applied Digital's Shares Outstanding (Diluted) came in at 291.56 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 13.9% from 255.89 million a year earlier and up 5.9% from the prior quarter.
Applied Digital (APLD) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Applied Digital's Shares Outstanding (Diluted) was 275.19 million, up 36.8% from FY2025.
- Shares Outstanding (Diluted) has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 183.2% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 201.19 million in FY2025 (+76.4%), 114.06 million in FY2024 (+21.4%), 93.98 million in FY2023 (+64.5%) and 57.12 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2021.
- Year-over-year, Shares Outstanding (Diluted) has increased for 17 consecutive quarters, with growth averaging 54.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 8.0% in fiscal Q1 2024 to 107.2% in fiscal Q1 2023.
- Business Quant data shows APLD's Shares Outstanding (Diluted) at 275.19 million (Q4 2026), 281.98 million (Q3 2026) and 277.42 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,870.06 Bn | 3,793.22 Bn | 60.48 Bn | 7.45 Bn |
| 2 | International Business Machines | 237.60 Bn | 188.50 Bn | 9.91 Bn | 953.30 Mn |
| 3 | Cloudflare | 97.89 Bn | 81.42 Bn | 499.52 Mn | 354.33 Mn |
| 4 | Equinix | 94.00 Bn | 82.55 Bn | 1.40 Bn | 99.14 Mn |
| 5 | Nebius | 40.27 Bn | 13.71 Bn | 448.70 Mn | 282.72 Mn |
| 6 | CoreWeave | 30.64 Bn | 17.73 Bn | 1.70 Bn | 551.00 Mn |
| 7 | Verisign | 27.35 Bn | 24.71 Bn | 393.20 Mn | 90.40 Mn |
| 8 | Nutanix | 18.82 Bn | 10.50 Bn | 651.35 Mn | 292.18 Mn |
| 9 | GoDaddy | 14.55 Bn | 10.13 Bn | 828.20 Mn | 130.99 Mn |
| 10 | Applied Digital | 5.67 Bn | -503.89 Mn | 96.17 Mn | 291.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 291.56 Mn |
| May 31, 2026 | 275.19 Mn |
| Feb 28, 2026 | 281.98 Mn |
| Nov 30, 2025 | 277.42 Mn |
| Aug 31, 2025 | 255.89 Mn |
| May 31, 2025 | 201.19 Mn |
| Feb 28, 2025 | 222.45 Mn |
| Nov 30, 2024 | 209.56 Mn |
| Aug 31, 2024 | 149.01 Mn |
| May 31, 2024 | 114.06 Mn |
| Feb 29, 2024 | 121.43 Mn |
| Nov 30, 2023 | 109.66 Mn |
| Aug 31, 2023 | 100.52 Mn |
| May 31, 2023 | 93.98 Mn |
| Feb 28, 2023 | 94.12 Mn |
| Nov 30, 2022 | 93.42 Mn |
| Aug 31, 2022 | 93.11 Mn |
| May 31, 2022 | 57.12 Mn |
| Feb 28, 2022 | 53.40 Mn |
| Nov 30, 2021 | 53.40 Mn |
Applied Digital Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "APLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();